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Erschienen in:
2006 | OriginalPaper | Buchkapitel
Constructing Bayesian Networks from Association Analysis
verfasst von : Ohm Sornil, Sunatashee Poonvutthikul
Erschienen in: PRICAI 2006: Trends in Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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This paper presents an automatic Bayesian network construction algorithm where association analysis is employed to guide the construction of network structure. The proposed method is studied in context of data imputation together with a previously proposed technique for automatic Bayesian network construction, Backpropagation neural networks, and two traditional data imputation techniques. The results show that the proposed method performs better or at least as well as does the best of other methods in 84.62% of the cases.